• DocumentCode
    249247
  • Title

    Crime analysis and prediction using data mining

  • Author

    Sathyadevan, Shiju ; Devan, M.S. ; Surya Gangadharan, S.

  • Author_Institution
    Amrita Center for Cyber Security, Amrita Vishwa Vidyapeetham, Amritapuri, India
  • fYear
    2014
  • fDate
    19-20 Aug. 2014
  • Firstpage
    406
  • Lastpage
    412
  • Abstract
    Crime analysis and prevention is a systematic approach for identifying and analyzing patterns and trends in crime. Our system can predict regions which have high probability for crime occurrence and can visualize crime prone areas. With the increasing advent of computerized systems, crime data analysts can help the Law enforcement officers to speed up the process of solving crimes. Using the concept of data mining we can extract previously unknown, useful information from an unstructured data. Here we have an approach between computer science and criminal justice to develop a data mining procedure that can help solve crimes faster. Instead of focusing on causes of crime occurrence like criminal background of offender, political enmity etc we are focusing mainly on crime factors of each day.
  • Keywords
    Bayes methods; data analysis; data mining; police data processing; computerized system; crime data analysis; crime prevention; data mining; law enforcement officers; unstructured data; Artificial neural networks; Visualization; Apriori algorithm; Decision tree; GraphDB; Mongo DB; NER; Naive Bayes; Neo4j;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networks & Soft Computing (ICNSC), 2014 First International Conference on
  • Conference_Location
    Guntur
  • Print_ISBN
    978-1-4799-3485-0
  • Type

    conf

  • DOI
    10.1109/CNSC.2014.6906719
  • Filename
    6906719